Video: Fighting Deforestation in Ghana with Earth Observations
Ghana is home to some of the most biodiverse and carbon-dense forests in the world. But more than a third of them have been lost in recent decades.
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Ghana is home to some of the most biodiverse and carbon-dense forests in the world. But more than a third of them have been lost in recent decades.
At Google’s Geo for Good (G4G) Summit 2023 in Mountain View, California, SERVIR scientists explained how and its collaborators are using artificial intelligence (AI) get more out of Earth data.
| Jake Ramthun, Biplov Bhandari, and Tim Mayer, NASA Science Coordination Office
This fact sheet highlights how the Charcoal Production Site Monitoring Service is facilitating forest degradation monitoring of charcoal production sites in Ghana.
A Rocha Ghana (ARG) is an established environmental organization in Ghana that helps communities adapt to their changing natural environments. It currently works in the West Gonja District in northern Ghana where charcoal production is widespread.
How does one leverage the latest scientific and technological advances to place the power of the Cloud and Earth observations (EO) at the fingertips of researchers based in dynamically changing countries?
Meet Abena Boatemaa Asare-Ansah, an intern for SERVIR-West Africa/Centre for Remote Sensing & Geographic Information Services (CERSGIS).
Francisca Ameley Armah, an Assistant Application Specialist for SERVIR-West Africa / Centre for Remote Sensing & Geographic Information Services (CERSGIS), is profiled.
Meet Mary Amponsah, an Assistant Application Specialist for SERVIR-West Africa / Centre for Remote Sensing & Geographic Information Services (CERSGIS).
At the recent global knowledge exchange of SERVIR staff from SERVIR-Amazonia and SERVIR-West Africa exchanged ideas and experiences on services for illegal mining detection.
Collecting Earth observations over tropical forests comes with logistical challenges. While protection of these often highly-vulnerable ecosystems is critical to combating climate change, heavy cloud cover and the cost of granular-level data mean that frequent, quality forest cover imagery can be a rare and valuable resource.